Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'15
'20
'25
Papers (including subtopics)
DrugHash: Hashing Based Contrastive Learning for Virtual Screening
AAAI 2025
Drug-TTA: Test-Time Adaptation for Drug Virtual Screening via Multi-task Meta-Auxiliary Learning
ICML 2025
DS2-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis
ACL 2025
DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models
EMNLP 2025
DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models
AAAI 2025
DSLNLP@NLU of Devanagari Script Languages 2025: Leveraging BERT-based Architectures for Language Identification, Hate Speech Detection and Target Classification
COLING 2025
DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path
EMNLP 2025
DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness
ICCV 2025
DSPO: Direct Score Preference Optimization for Diffusion Model Alignment
ICLR 2025
DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions
AAAI 2025
DSTR: Dual Scenes Transformer for Cross-Modal Fusion in 3D Object Detection
WACV 2025
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
CVPR 2025
DTOS: Dynamic Time Object Sensing with Large Multimodal Model
CVPR 2025
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation
AAAI 2025
DualCIR: Enhancing Training-Free Composed Image Retrieval via Dual-Directional Descriptions
WACV 2025
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
CVPR 2025
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype
AAAI 2025
Dual Debiasing for Noisy In-Context Learning for Text Generation
ACL 2025
Dual Domain Control via Active Learning for Remote Sensing Domain Incremental Object Detection
ICCV 2025
Dual Encoder Contrastive Learning with Augmented Views for Graph Anomaly Detection
IJCAI 2025
Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression
IJCAI 2025
Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model
ACL 2025
Dual Manifold Regularization Steered Robust Representation Learning for Point Cloud Analysis
AAAI 2025
Dual-Module Collaborative LoRA for Effective Large Language Model Fine-Tuning
ACML 2025
DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision
AAAI 2025